The NeuroTechnology Lab is a research laboratory hosting activities within a broad spectrum of technologies related to the human nervous system. This includes measuring on and modelling of the nervous system, innovating and engineering novel interfacing technologies, applying advanced signal processing and machine learning methods for electrophysiological signals primarily from the central and peripheral nervous system, and facilitate experimental research within this field. The Laboratory is headed by Professor Preben Kidmose, and currently three researchers and five PhD students are associated with the lab.
The lab is equipped with instruments for biosignal recordings, custom build equipment for specific experiments, and conventional electronic lab instruments. There are more or less permanent setups for measuring auditory and visual evoked potentials and for brain-computer interface experiments, but the setups are intended to be flexible and can easily be rearranged and adapted to specific needs. Some of the equipment is listed below:
The purpose of the lab is to facilitate applied and experimental research within technologies for interfacing to the human nervous system. In particular there is a focus on wearable systems that are feasible for recording over long periods of time and with integration with other sensor modalities.
Technologies researched covers medical, neuroscience, professional and consumer applications. Within the medical area the technologies can be applied for diagnosing and monitoring of diseases, for assistive devices used in rehabilitation, and for management and monitoring of chronical diseases. Technologies for monitoring of mental, physiological or psychological states in natural environments and over long periods of time is a long standing imperative within neuroscience. Fatigue monitoring and estimation of attention or working memory capacity are of high relevance in many professional applications. And finally, sleep monitoring, estimation of affective states or cognitive training through neuro-feedback are examples of possible future consumer applications.